Linear algebra through geometry
著者
書誌事項
Linear algebra through geometry
（Undergraduate texts in mathematics）
Springer-Verlag, c1992
2nd ed
- : us
- : gw
大学図書館所蔵 全60件
注記
Includes index
内容説明・目次
- 巻冊次
-
: us ISBN 9780387975863
内容説明
This book introduces the concepts of linear algebra through the careful study of two and three-dimensional Euclidean geometry. This approach makes it possible to start with vectors, linear transformations, and matrices in the context of familiar plane geometry and to move directly to topics such as dot products, determinants, eigenvalues, and quadratic forms. The later chapters deal with n-dimensional Euclidean space and other finite-dimensional vector space.
目次
1.0 Vectors in the Line.- 2.0 The Geometry of Vectors in the Plane.- 2.1 Transformations of the Plane.- 2.2 Linear Transformations and Matrices.- 2.3 Sums and Products of Linear Transformations.- 2.4 Inverses and Systems of Equations.- 2.5 Determinants.- 2.6 Eigenvalues.- 2.7 Classification of Conic Sections.- 3.0 Vector Geometry in 3-Space.- 3.1 Transformations of 3-Space.- 3.2 Linear Transformations and Matrices.- 3.3 Sums and Products of Linear Transformations.- 3.4 Inverses and Systems of Equations.- 3.5 Determinants.- 3.6 Eigenvalues.- 3.7 Symmetric Matrices.- 3.8 Classification of Quadric Surfaces.- 4.0 Vector Geometry in n-Space, n ? 4.- 4.1 Transformations of n-Space, n ? 4.- 4.2 Linear Transformations and Matrices.- 4.3 Homogeneous Systems of Equations in n-Space.- 4.4 Inhomogeneous Systems of Equations in n-Space.- 5.0 Vector Spaces.- 5.1 Bases and Dimensions.- 5.2 Existence and Uniqueness of Solutions.- 5.3 The Matrix Relative to a Given Basis.- 6.0 Vector Spaces with an Inner Product.- 6.1 Orthonormal Bases.- 6.2 Orthogonal Decomposition of a Vector Space.- 7.0 Symmetric Matrices in n Dimensions.- 7.1 Quadratic Forms in n Variables.- 8.0 Differential Systems.- 8.1 Least Squares Approximation.- 8.2 Curvature of Function Graphs.
- 巻冊次
-
: gw ISBN 9783540975861
内容説明
"Linear Algebra Through Geometry" introduces the concepts of linear algebra through the study of two- and three-dimensional Euclidean geometry. This approach makes it possible to start with vectors, linear transformations and matrices in the context of familiar plane geometry and to move directly to topics such as dot products, determinants, eigenvalues and quadratic forms. The later chapters deal with n-dimensional Euclidean space and other finite-dimensional vector space. Topics include systems of linear equations in n variable, inner products, symmetric matrices and quadratic forms. The final chapter deals with applications of linear algebra to differential systems, least square approximations and curvature of surfaces in three spaces. The only basic required knowledge for using this book (with the exception of one section on systems of differential equations) is a working knowledge of school geometry, algebra and introductory trigonometry.
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